Issue 9, 2021

Manganese-doped gold core mesoporous silica particles as a nanoplatform for dual-modality imaging and chemo-chemodynamic combination osteosarcoma therapy

Abstract

In this study, an effective and facile strategy is reported to construct a multifunctional nanoplatform by in situ doping metal manganese on gold core mesoporous silica nanoparticles (Au@MMSN). After further modification of alendronate (Ald) on Au@MMSN, the obtained Au@MMSN-Ald efficiently integrates bone targeted chemo-chemodynamic combination therapy and dual-modality computed tomography/magnetic resonance (CT/MR) imaging into a single platform. In particular, Au@MMSN-Ald exhibits excellent tumor microenvironment responsive drug release efficiency. The doxorubicin hydrochloride (DOX) loaded Au@MMSN-Ald (DOX@Au@MMSN-Ald) is demonstrated with excellent targeted ability toward osteosarcoma. Accordingly, in a specific tumor microenvironment, DOX@Au@MMSN-Ald also displays outstanding combined efficiency for killing cancer cells in vitro and suppressing the osteosarcoma growth in vivo. Benefiting from the Au nanoparticles confined in the core and manganese ions released from the shell, CT and MR dual-modality imaging were performed to verify the effective accumulation of Au@MMSN-Ald at the tumor site. Overall, the constructed DOX@Au@MMSN-Ald nanoparticles integrated imaging guide, responsive drug release and combination therapy, which may provide some insight for further biomedical applications in efficient osteosarcoma therapy.

Graphical abstract: Manganese-doped gold core mesoporous silica particles as a nanoplatform for dual-modality imaging and chemo-chemodynamic combination osteosarcoma therapy

Supplementary files

Article information

Article type
Paper
Submitted
31 Dec 2020
Accepted
05 Feb 2021
First published
05 Feb 2021

Nanoscale, 2021,13, 5077-5093

Manganese-doped gold core mesoporous silica particles as a nanoplatform for dual-modality imaging and chemo-chemodynamic combination osteosarcoma therapy

Z. Sha, S. Yang, L. Fu, M. Geng, J. Gu, X. Liu, S. Li, X. Zhou and C. He, Nanoscale, 2021, 13, 5077 DOI: 10.1039/D0NR09220G

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